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Benchmarking LLM Inference Back Ends: VLLM, LMDeploy, MLC-LLM, TensorRT-LLM, TGI
Compare the Llama 3 serving performance with vLLM, LMDeploy, MLC-LLM, TensorRT-LLM, and Hugging Face TGI on BentoCloud.
Benchmarking LLM Inference Backends: vLLM, LMDeploy, MLC-LLM, TensorRT-LLM, and TGI June 5, 2024 • Written By Rick Zhou, Larme Zhao, Bo Jiang, and Sean Sheng To help developers make informed decisions, the BentoML engineering team conducted a comprehensive benchmark study on the Llama 3 serving performance with vLLM, LMDeploy, MLC-LLM, TensorRT-LLM, and Hugging Face TGI on BentoCloud. Our benchmark client can spawn up to the target number of users within 20 seconds, after which it stress tests the LLM backend by sending concurrent generation requests with randomly selected prompts.
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